Design of Intelligent Guidance System for Distance Art Education in Colleges and Universities Based on the Integration of Current Information Literacy Model

Abstract

In this paper, a kind of Intelligent Guidance System and intelligent tutoring system for distance art education in colleges and universities based on the integration of current information literacy model (CILM) is put forward. The directed stochastic network based on the category marker variables is constructed so that the effect of the distance art learning in colleges and universities can be greatly enhanced. In addition, the correlation between the marker classifier and literacy can allow more precise literacy correlation accomplished from the long distance art learning in colleges and universities. In combination with 20 benchmark data sets, different evaluation criteria are adopted. And the final research results show that CILM is more superior to the proposed distance art education in colleges and universities.